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SCIENCE CHINA Information Sciences, Volume 63, Issue 9: 199205(2020) https://doi.org/10.1007/s11432-019-9924-7

Improved evolutionary algorithm and its application in PID controller optimization

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  • ReceivedMar 28, 2019
  • AcceptedMay 30, 2019
  • PublishedMar 26, 2020

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported in part by National Key Research and Development Program of China (Grant No. 2016YFB0800601), National Natural Science Foundation of China (Grant Nos. 61472331, 61772434, 61806169), China Postdoctoral Science Foundation (Grant No. 2018M643085), and Fundamental Research Funds for the Central Universities (Grant No. XDJK2019C020).


References

[1] Yi Y, Zhang T P, Guo L. Multi-objective PID control for non-Gaussian stochastic distribution system based on two-step intelligent models. Sci China Ser F-Inf Sci, 2009, 52: 1754-1765 CrossRef Google Scholar

[2] Wang J S, Yang G H. Data-Driven Output-Feedback Fault-Tolerant Compensation Control for Digital PID Control Systems With Unknown Dynamics. IEEE Trans Ind Electron, 2016, 63: 7029-7039 CrossRef Google Scholar

[3] Zhang G, Tian B, Zhang W, et al. Optimized robust control for industrial unstable process via the mirror-mapping method. ISA Trans, 2018, 86: 9--17. Google Scholar

[4] Zhang T, Chen C L P, Chen L. Design of Highly Nonlinear Substitution Boxes Based on I-Ching Operators.. IEEE Trans Cybern, 2018, 48: 3349-3358 CrossRef PubMed Google Scholar

[5] Zhang G, Deng Y, Zhang W. Robust neural output-feedback stabilization for stochastic nonlinear process with time-varying delay and unknown dead zone. Sci China Inf Sci, 2017, 60: 120202 CrossRef Google Scholar

[6] Liu X F, Zhan Z H, Deng J D. An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing. IEEE Trans Evol Computat, 2018, 22: 113-128 CrossRef Google Scholar

[7] Liu H X, Liu F, Zhang X J. Aircraft conflict resolution method based on hybrid ant colony optimization and artificial potential field. Sci China Inf Sci, 2018, 61: 129103 CrossRef Google Scholar

[8] Chen C L P, Zhang T, Chen L. I-Ching Divination Evolutionary Algorithm and its Convergence Analysis.. IEEE Trans Cybern, 2017, 47: 2-13 CrossRef PubMed Google Scholar

[9] Meng X B, Gao X Z, Lu L. A new bio-inspired optimisation algorithm: Bird Swarm Algorithm. J Exp Theor Artificial Intelligence, 2016, 28: 673-687 CrossRef Google Scholar

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